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Article . 2012
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Side information for the discrimination of simple hypotheses

Authors: Cisek, Maria Assunta; Sgarro, Andrea;

Side information for the discrimination of simple hypotheses

Abstract

Si considera un problema di discriminazione statistica subordinata. Si effettuano delle osservazioni congiunte (x$_{i}$, y$_{i}$); le osservazioni x$_{i}$ sono usate ai fini della discriminazione solo come informazione collaterale. Si paragonano i risultati con quelli della teoria classica di Neyman e Pearson. Il lavoro vuol essere un contributo alla costruzione di una teoria delle decisioni a più terminali.

A problem of conditional hypothesis discrimination is considered. A sample of joint observations (x$_{i}$, y$_{i}$) is taken.The x$_{i}$-observations are used only as side information for discrimination. Comparisons are made with standard Neyman Pearson theory. This paper is meant as a contribution towards a theory of multi-terminal decision making.

Country
Italy
Related Organizations
Keywords

Statistical decision theory, discrimination of simple hypotheses, Neyman-Pearson theory, side information, conditional hypothesis discrimination, Statistical aspects of information-theoretic topics, multi-terminal decision making

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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